Generalizing the first-difference correlated random walk for marine animal movement data
Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with...
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ftdtupubl:oai:pure.atira.dk:publications/1f158572-71d6-497d-9147-626a466ea993 2023-12-10T09:53:16+01:00 Generalizing the first-difference correlated random walk for marine animal movement data Albertsen, Christoffer Moesgaard 2019 application/pdf https://orbit.dtu.dk/en/publications/1f158572-71d6-497d-9147-626a466ea993 https://doi.org/10.1038/s41598-019-40405-z https://backend.orbit.dtu.dk/ws/files/170355872/Publishers_version.pdf eng eng info:eu-repo/semantics/openAccess Albertsen , C M 2019 , ' Generalizing the first-difference correlated random walk for marine animal movement data ' , Scientific Reports , vol. 9 , no. 1 , 4017 . https://doi.org/10.1038/s41598-019-40405-z Medicine R Science Q /dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water article 2019 ftdtupubl https://doi.org/10.1038/s41598-019-40405-z 2023-11-15T23:58:01Z Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with drift is introduced. The model generalizes the commonly used first-difference correlated random walk with regular time steps by allowing irregular time steps, including a drift term, and by allowing different autocorrelation in the two coordinates. The model is applied to data from a ringed seal collected through the Argos satellite system, and is compared to related movement models through simulations. Accounting for irregular data in the movement model results in accurate parameter estimates and reconstruction of movement paths. Further, the introduced model can provide more accurate movement paths than the regular time counterpart. Extracting accurate movement paths from uncertain telemetry data is important for evaluating space use patterns for marine animals, which in turn is crucial for management. Further, handling irregular data directly in the movement model allows efficient simultaneous analyses of several animals. Article in Journal/Newspaper ringed seal Technical University of Denmark: DTU Orbit Scientific Reports 9 1 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Medicine R Science Q /dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water |
spellingShingle |
Medicine R Science Q /dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water Albertsen, Christoffer Moesgaard Generalizing the first-difference correlated random walk for marine animal movement data |
topic_facet |
Medicine R Science Q /dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water |
description |
Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with drift is introduced. The model generalizes the commonly used first-difference correlated random walk with regular time steps by allowing irregular time steps, including a drift term, and by allowing different autocorrelation in the two coordinates. The model is applied to data from a ringed seal collected through the Argos satellite system, and is compared to related movement models through simulations. Accounting for irregular data in the movement model results in accurate parameter estimates and reconstruction of movement paths. Further, the introduced model can provide more accurate movement paths than the regular time counterpart. Extracting accurate movement paths from uncertain telemetry data is important for evaluating space use patterns for marine animals, which in turn is crucial for management. Further, handling irregular data directly in the movement model allows efficient simultaneous analyses of several animals. |
format |
Article in Journal/Newspaper |
author |
Albertsen, Christoffer Moesgaard |
author_facet |
Albertsen, Christoffer Moesgaard |
author_sort |
Albertsen, Christoffer Moesgaard |
title |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_short |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_full |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_fullStr |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_full_unstemmed |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_sort |
generalizing the first-difference correlated random walk for marine animal movement data |
publishDate |
2019 |
url |
https://orbit.dtu.dk/en/publications/1f158572-71d6-497d-9147-626a466ea993 https://doi.org/10.1038/s41598-019-40405-z https://backend.orbit.dtu.dk/ws/files/170355872/Publishers_version.pdf |
genre |
ringed seal |
genre_facet |
ringed seal |
op_source |
Albertsen , C M 2019 , ' Generalizing the first-difference correlated random walk for marine animal movement data ' , Scientific Reports , vol. 9 , no. 1 , 4017 . https://doi.org/10.1038/s41598-019-40405-z |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/s41598-019-40405-z |
container_title |
Scientific Reports |
container_volume |
9 |
container_issue |
1 |
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1784899881032220672 |